Triple

T21725908
Position Surface form Disambiguated ID Type / Status
Subject Julia Mary Walters E536273 entity
Predicate hasChild P369 FINISHED
Object Maisie Roffey NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maisie Roffey | Statement: [Julia Mary Walters, hasChild, Maisie Roffey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maisie Roffey
Context triple: [Julia Mary Walters, hasChild, Maisie Roffey]
  • A. Maisie Roffey chosen
    Maisie Roffey is the daughter of acclaimed British actress Julie Walters and her husband Grant Roffey.
  • B. Maisie Clifton
    Maisie Clifton is a central figure in Jeffrey Archer’s multi-generational saga "The Clifton Chronicles," around whom much of the family drama and emotional narrative revolves.
  • C. Maisie Hart
    Maisie Hart is a fictional character from the television series "True Detective," known as one of detective Marty Hart's daughters.
  • D. Maisie Richardson-Sellers
    Maisie Richardson-Sellers is a British actress best known for her prominent role in the superhero television series "DC's Legends of Tomorrow."
  • E. Maisie Farange
    Maisie Farange is the perceptive child protagonist of Henry James’s novel "What Maisie Knew," whose experiences reveal the emotional fallout of her parents’ bitter divorce.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd972ed248190bd0d4ac43efccbfd completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:48 p.m.